{"title":"基于空间自回归前沿模型的生产率增长分解","authors":"Anthony Glass, Karligash Glass, Juan Paez-Farrell","doi":"10.2139/ssrn.2225794","DOIUrl":null,"url":null,"abstract":"A new spatial decomposition of total factor productivity growth into direct (own) and indirect (spillover) components is set out. We then apply the decomposition in the context of a spatial autoregressive production frontier analysis of 40 European countries over the period 1995–2008.","PeriodicalId":237187,"journal":{"name":"ERN: Production; Cost; Capital & Total Factor Productivity; Value Theory (Topic)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"63","resultStr":"{\"title\":\"Productivity Growth Decomposition Using a Spatial Autoregressive Frontier Model\",\"authors\":\"Anthony Glass, Karligash Glass, Juan Paez-Farrell\",\"doi\":\"10.2139/ssrn.2225794\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new spatial decomposition of total factor productivity growth into direct (own) and indirect (spillover) components is set out. We then apply the decomposition in the context of a spatial autoregressive production frontier analysis of 40 European countries over the period 1995–2008.\",\"PeriodicalId\":237187,\"journal\":{\"name\":\"ERN: Production; Cost; Capital & Total Factor Productivity; Value Theory (Topic)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"63\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Production; Cost; Capital & Total Factor Productivity; Value Theory (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2225794\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Production; Cost; Capital & Total Factor Productivity; Value Theory (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2225794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Productivity Growth Decomposition Using a Spatial Autoregressive Frontier Model
A new spatial decomposition of total factor productivity growth into direct (own) and indirect (spillover) components is set out. We then apply the decomposition in the context of a spatial autoregressive production frontier analysis of 40 European countries over the period 1995–2008.
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